A study of mobile user engagement (MoEN)
01 Dec 2013-Vol. 56, pp 361-370
TL;DR: It is found that mobile users' engagement motivations do influence perceived value, satisfaction and mobile engagement intention, and this model is proposed to explain mobile user engagement intention through user's motivations, perceived value and satisfaction.
Abstract: The growth of mobile technology mediated environments is accelerated by its accessibility and easy use tools, such as smartphones and tablets. User friendly and intuitive features drive user value and satisfaction. These features motivate and drive further mobile user engagement. Smartphones, for example, allow users to control when, where, and how they engage in chosen activities that serve their needs, saving time, completing a task (utilitarian), entertain them (hedonic), or connect with others (social). Few studies have examined why and how mobile users are continually engaging mobile activities. Focusing on mobile engagement which has not previously been explored, this study investigates, proposes, and tests a mobile user engagement (MoEN) model to explain mobile user engagement intention through user's motivations, perceived value and satisfaction. Findings indicate that mobile users' engagement motivations do influence perceived value, satisfaction and mobile engagement intention. Research introduces the concept of mobile user engagement (MoEN).Research utilizes the cognitive-affective-conative stage framework.Research framework helps to understand mobile user mobile engagement motivations.Empirical results highlight the importance of mobile user engagement behavior.
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TL;DR: This review aimed to synthesise literature on engagement to identify key conceptualisations and to develop an integrative conceptual framework involving potential direct and indirect influences on engagement and relationships between engagement and intervention effectiveness.
Abstract: "Engagement" with digital behaviour change interventions (DBCIs) is considered important for their effectiveness. Evaluating engagement is therefore a priority; however, a shared understanding of how to usefully conceptualise engagement is lacking. This review aimed to synthesise literature on engagement to identify key conceptualisations and to develop an integrative conceptual framework involving potential direct and indirect influences on engagement and relationships between engagement and intervention effectiveness. Four electronic databases (Ovid MEDLINE, PsycINFO, ISI Web of Knowledge, ScienceDirect) were searched in November 2015. We identified 117 articles that met the inclusion criteria: studies employing experimental or non-experimental designs with adult participants explicitly or implicitly referring to engagement with DBCIs, digital games or technology. Data were synthesised using principles from critical interpretive synthesis. Engagement with DBCIs is conceptualised in terms of both experiential and behavioural aspects. A conceptual framework is proposed in which engagement with a DBCI is influenced by the DBCI itself (content and delivery), the context (the setting in which the DBCI is used and the population using it) and the behaviour that the DBCI is targeting. The context and "mechanisms of action" may moderate the influence of the DBCI on engagement. Engagement, in turn, moderates the influence of the DBCI on those mechanisms of action. In the research literature, engagement with DBCIs has been conceptualised in terms of both experience and behaviour and sits within a complex system involving the DBCI, the context of use, the mechanisms of action of the DBCI and the target behaviour.
649 citations
TL;DR: In this paper, the duality of consumer engagement with two engagement foci (brand and community) and seven sub-dimensions of engagement is discussed. But the focus of this paper is on consumer engagement objects.
Abstract: This study advances the conceptualisation and operationalisation of consumer engagement in the context of online brand communities (OBCs). Past scholarship has only partially addressed the dimensionality of engagement and the different engagement foci, and these oversights have important theoretical and empirical consequences. This study contributes to the nascent stream of research that aims to theoretically refine and operationalise engagement by espousing the duality of engagement with two engagement foci (brand and community) and seven sub-dimensions of consumer engagement. Using qualitative data from consumers and experts, three survey data sets based on English and French samples, and two pools of mirrored items (one for each engagement focus), the study develops and validates a dual-focus 22-item scale of consumer engagement that can be used to operationalise engagement with various consumer engagement objects.
343 citations
TL;DR: An integration of online learning with virtual communities to foster student engagement for obtaining better learning outcomes is discussed.
296 citations
TL;DR: The gap in the M-Banking literature in Saudi Arabia would be bridged by proposing a comprehensive conceptual model that scrupulously clarifies the use of M-banking from the perspective of Saudi users.
287 citations
Cites background from "A study of mobile user engagement (..."
...Different studies examining the adoption of mobile technology applications have tested and proved the importance of the role of hedonic motivation, such as Alalwan et al. (2017) and Kim et al. (2013)....
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TL;DR: This study uses path analysis to test the relationships with attitude, perceived value and watching intention to understand the influential factors and channels that induce audiences to watch live-streaming events and proposes four key factors: flow, entertainment, social interaction, and endorsement.
274 citations
Cites background from "A study of mobile user engagement (..."
...Kim et al. (2013) noted that hedonic motivation (fun, enjoyment, and pleasure) impacts perceived value, thereby impacting smartphone addiction....
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References
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TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.
65,095 citations
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Abstract: The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addit...
56,555 citations
TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Abstract: Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
52,531 citations
01 Jan 1989
TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
40,975 citations
TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Abstract: Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions of these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with reliabilities of .98 for usefulness and .94 for ease of use. The scales exhibited hgih convergent, discriminant, and factorial validity. Perceived usefulness was significnatly correlated with both self-reported current usage r = .63, Study 1) and self-predicted future usage r = .85, Study 2). Perceived ease of use was also significantly correlated with current usage r = .45, Study 1) and future usage r = .59, Study 2). In both studies, usefulness had a signficnatly greater correaltion with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.
40,720 citations